LAUSR

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

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1 Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3230250

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, we propose a compact Convolutional Transformer, named… read more here.

Keywords: visualization; eeg conformer; eeg decoding; convolutional transformer ... See more keywords